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DBMS > HBase vs. Impala vs. Redis

System Properties Comparison HBase vs. Impala vs. Redis

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Editorial information provided by DB-Engines
NameHBase  Xexclude from comparisonImpala  Xexclude from comparisonRedis  Xexclude from comparison
DescriptionWide-column store based on Apache Hadoop and on concepts of BigTableAnalytic DBMS for HadoopIn-memory data structure store, used as database, cache and message broker infoRedis focuses on performance so most of its design decisions prioritize high performance and very low latencies.
Primary database modelWide column storeRelational DBMSKey-value store infoMultiple data types and a rich set of operations, as well as configurable data expiration, eviction and persistence
Secondary database modelsDocument storeDocument store infowith Redis Modules
Graph DBMS infowith Redis Modules
Search engine infowith Redis Modules
Time Series DBMS infowith Redis Modules
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score49.11
Rank#22  Overall
#2  Wide column stores
Score15.52
Rank#36  Overall
#22  Relational DBMS
Score152.87
Rank#7  Overall
#1  Key-value stores
Websitehbase.apache.orgwww.cloudera.com/­products/­open-source/­apache-hadoop/­impala.htmlredis.io
Technical documentationhbase.apache.orgwww.cloudera.com/­documentation/­enterprise/­latest/­topics/­impala.htmlredis.io/­documentation
DeveloperApache Software Foundation infoApache top-level project, originally developed by PowersetClouderaSalvatore Sanfilippo infoDevelopment sponsored by Redis Labs
Initial release200820132009
Current release2.2.0, June 20193.3.0, August 20196.0.6, July 2020
License infoCommercial or Open SourceOpen Source infoApache version 2Open Source infoApache Version 2Open Source infoBSD 3-Clause, commercial license available
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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ScaleGrid for Redis: Fully managed hosting for Redis on AWS, Azure and DigitalOcean with high availability and SSH access on the #1 multi-cloud DBaaS.
Implementation languageJavaC++C
Server operating systemsLinux
Unix
Windows infousing Cygwin
LinuxBSD
Linux
OS X
Windows infoported and maintained by Microsoft Open Technologies, Inc.
Data schemeschema-free, schema definition possibleyesschema-free
Typing infopredefined data types such as float or dateoptions to bring your own types, AVROyespartial infoSupported data types are strings, hashes, lists, sets and sorted sets, bit arrays, hyperloglogs and geospatial indexes
XML support infoSome form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.nonono
Secondary indexesnoyesyes infowith RediSearch module
SQL infoSupport of SQLnoSQL-like DML and DDL statementsno
APIs and other access methodsJava API
RESTful HTTP API
Thrift
JDBC
ODBC
proprietary protocol infoRESP - REdis Serialization Protocol
Supported programming languagesC
C#
C++
Groovy
Java
PHP
Python
Scala
All languages supporting JDBC/ODBCC
C#
C++
Clojure
Crystal
D
Dart
Elixir
Erlang
Fancy
Go
Haskell
Haxe
Java
JavaScript (Node.js)
Lisp
Lua
MatLab
Objective-C
OCaml
Pascal
Perl
PHP
Prolog
Pure Data
Python
R
Rebol
Ruby
Rust
Scala
Scheme
Smalltalk
Swift
Tcl
Visual Basic
Server-side scripts infoStored proceduresyes infoCoprocessors in Javayes infouser defined functions and integration of map-reduceLua
Triggersyesnono
Partitioning methods infoMethods for storing different data on different nodesShardingShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
selectable replication factorMulti-source replication infowith Redis Enterprise Pack
Source-replica replication infoChained replication is supported
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesyes infoquery execution via MapReduceno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual ConsistencyEventual ConsistencyEventual Consistency
Strong eventual consistency with CRDTs
Foreign keys infoReferential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataSingle row ACID (across millions of columns)noOptimistic locking, atomic execution of commands blocks and scripts
Concurrency infoSupport for concurrent manipulation of datayesyesyes infoData access is serialized by the server
Durability infoSupport for making data persistentyesyesyes infoConfigurable mechanisms for persistency via snapshots and/or operations logs
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyes
User concepts infoAccess controlAccess Control Lists (ACL) for RBAC, integration with Apache Ranger for RBAC & ABACAccess rights for users, groups and roles infobased on Apache Sentry and KerberosSimple password-based access control infoAccess control lists and SSL are available in the commercial version

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